# This file is a part of the open-eBackup project.
# This Source Code Form is subject to the terms of the Mozilla Public License, v. 2.0.
# If a copy of the MPL was not distributed with this file, You can obtain one at
# http://mozilla.org/MPL/2.0/.
#
# Copyright (c) [2024] Huawei Technologies Co.,Ltd.
#
# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND,
# EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT,
# MERCHANTABILITY OR FIT FOR A PARTICULAR PURPOSE.
from collections import OrderedDict

from torch import tensor

input_type = [
    [4.0, 1.0, 4.0, 1.0, 1.0, 2.0, 2.0, 4.0, 1.0, 1.0]
]
input_size = [
    [0.2, 3, 0.726016, 4, 0.104, 3, 0.7270399999999999, 4, 0.724992, 4, 0.14966, 3, 0.16329999999999997, 2,
     0.00068359375, 1, 0.7198720000000001, 4, 0.7198720000000001, 4]
]
input_time = [
    [-0.09977, 2, 0.21512799999999999, 3, 0.7989799999999999, 2, 0.215261, 3, 0.419354, 3, 0.229129, 3, 0.178053, 3,
     0.12859299999999999, 3, 0.236494, 3, 0.236494, 3]
]

previous_data = [
    [[2, 4, 2, 4, 2, 4, 2, 4, 2, 4], [4, 2, 4, 2, 4, 2, 4, 1, 2, 4], [2, 4, 4, 2, 4, 2, 4, 2, 4, 2],
     [4, 2, 4, 1, 4, 2, 4, 2, 4, 2], [4, 2, 4, 2, 4, 1, 4, 2, 4, 2], [4, 2, 4, 2, 4, 2, 4, 1, 4, 2],
     [4, 2, 4, 1, 2, 4, 2, 4, 2, 4], [1, 4, 2, 4, 2, 4, 2, 4, 2, 4], [2, 4, 1, 4, 2, 4, 2, 4, 2, 4]],
    [[0.369140625, 0.1220703125, 0.3623046875, 0.1171875, 0.3603515625, 0.119140625, 0.3603515625, 0.0966796875,
      0.3740234375, 0.1240234375],
     [0.138671875, 0.3720703125, 0.125, 0.36328125, 0.123046875, 0.3662109375, 0.1240234375, 0.90234375,
      0.36328125, 0.1396484375],
     [0.365234375, 0.12109375, 0.1083984375, 0.373046875, 0.1396484375, 0.361328125, 0.1171875, 0.3603515625,
      0.1357421875, 0.361328125],
     [0.1201171875, 0.365234375, 0.126953125, 0.0009765625, 0.1171875, 0.40625, 0.1240234375, 0.39453125,
      0.1171875, 0.4052734375],
     [0.1162109375, 0.37890625, 0.13671875, 0.3662109375, 0.1484375, 0.900390625, 0.119140625, 0.40625, 0.125,
      0.361328125],
     [0.1220703125, 0.388671875, 0.1201171875, 0.361328125, 0.1201171875, 0.376953125, 0.12109375, 0.9326171875,
      0.1162109375, 0.392578125],
     [0.1181640625, 0.3828125, 0.1201171875, 0.9013671875, 0.4013671875, 0.1171875, 0.3896484375, 0.1416015625,
      0.380859375, 0.1298828125],
     [0.9248046875, 0.1162109375, 0.400390625, 0.1220703125, 0.3955078125, 0.119140625, 0.396484375,
      0.1357421875, 0.3974609375, 0.12109375],
     [0.3974609375, 0.1201171875, 0.8828125, 0.1142578125, 0.3759765625, 0.1142578125, 0.3828125, 0.1171875,
      0.392578125, 0.123046875]],
    [[567.0, 526.0, 690.0, 482.0, 639.0, 455.0, 713.0, 709.0, 940.0, 525.0],
     [448.0, 608.0, 331.0, 606.0, 617.0, 558.0, 481.0, 557.0, 698.0, 512.0],
     [689.0, 556.0, 626.0, 428.0, 300.0, 364.0, 292.0, 593.0, 660.0, 589.0],
     [433.0, 644.0, 559.0, 700.0, 311.0, 368.0, 330.0, 672.0, 336.0, 599.0],
     [808.0, 489.0, 285.0, 547.0, 344.0, 413.0, 313.0, 476.0, 392.0, 491.0],
     [345.0, 454.0, 365.0, 460.0, 355.0, 644.0, 534.0, 293.0, 616.0, 469.0],
     [412.0, 498.0, 309.0, 343.0, 489.0, 339.0, 481.0, 343.0, 527.0, 343.0],
     [599.0, 289.0, 470.0, 382.0, 524.0, 390.0, 500.0, 437.0, 570.0, 386.0],
     [538.0, 317.0, 474.0, 331.0, 560.0, 331.0, 493.0, 401.0, 574.0, 432.0]]
]

input_type2 = [
                  [4.0, 1.0, 4.0, 1.0, 1.0, 2.0, 2.0, 4.0, 1.0, 1.0]] * 200

input_size2 = [
                  [0.2, 3, 0.726016, 4, 0.104, 3, 0.7270399999999999, 4, 0.724992, 4, 0.14966, 3, 0.16329999999999997,
                   2,
                   0.00068359375, 1, 0.7198720000000001, 4, 0.7198720000000001, 4]] * 200

input_time2 = [
                  [-0.09977, 2, 0.21512799999999999, 3, 0.7989799999999999, 2, 0.215261, 3, 0.419354, 3, 0.229129, 3,
                   0.178053, 3,
                   0.12859299999999999, 3, 0.236494, 3, 0.236494, 3]
              ] * 200

input_type3 = [2] * 9
input_size3 = [0.369140625, 3] * 9
input_time3 = [567.0, 2] * 9

input_type_dataset = [
    [2, 4, 2, 4, 2, 4, 2, 4, 2, 4], [4, 2, 4, 2, 4, 2, 4, 1, 2, 4], [2, 4, 4, 2, 4, 2, 4, 2, 4, 2],
    [4, 2, 4, 1, 4, 2, 4, 2, 4, 2], [4, 2, 4, 2, 4, 1, 4, 2, 4, 2], [4, 2, 4, 2, 4, 2, 4, 1, 4, 2],
    [4, 2, 4, 1, 2, 4, 2, 4, 2, 4], [1, 4, 2, 4, 2, 4, 2, 4, 2, 4], [2, 4, 1, 4, 2, 4, 2, 4, 2, 4],
    [2, 4, 4, 2, 4, 2, 4, 2, 4, 2], [4, 2, 4, 1, 4, 2, 4, 2, 4, 1], [2, 4, 2, 4, 2, 4, 1, 4, 2, 4],
    [2, 4, 2, 4, 2, 4, 2, 4, 1, 4], [2, 4, 2, 4, 2, 4, 2, 4, 2, 4], [4, 2, 4, 2, 4, 2, 4, 2, 4, 2],
    [4, 1, 4, 2, 4, 2, 4, 2, 4, 2], [4, 2, 4, 1, 4, 2, 4, 2, 4, 2], [4, 2, 4, 2, 4, 1, 4, 4, 2, 4],
    [3, 3, 3, 3, 1, 3, 3, 3, 3, 3], [1, 3, 3, 3, 3, 1, 3, 3, 3, 3], [3, 1, 3, 3, 3, 3, 3, 1, 3, 3],
    [3, 3, 3, 1, 3, 3, 3, 3, 3, 1], [3, 3, 3, 3, 1, 3, 3, 3, 3, 3], [1, 3, 3, 3, 3, 3, 1, 3, 3, 3],
    [3, 3, 1, 3, 3, 3, 3, 3, 1, 3], [3, 3, 3, 3, 1, 3, 3, 3, 3, 3], [1, 3, 3, 3, 3, 3, 1, 3, 3, 3],
    [3, 3, 3, 3, 3, 1, 3, 3, 3, 3], [3, 1, 3, 3, 3, 1, 3, 3, 3, 3], [3, 1, 3, 3, 3, 3, 3, 1, 3, 3],
    [3, 3, 3, 1, 3, 3, 3, 3, 3, 1], [3, 3, 3, 3, 1, 3, 3, 3, 3, 3], [1, 3, 3, 3, 3, 3, 1, 3, 3, 3],
    [3, 3, 1, 3, 3, 3, 3, 3, 1, 3], [3, 3, 3, 3, 1, 3, 3, 3, 3, 3], [1, 3, 3, 3, 3, 3, 1, 3, 3, 3],
    [3, 3, 3, 3, 3, 3, 3, 3, 3, 3], [2, 4, 2, 4, 2, 4, 2, 4, 2, 4], [1, 4, 2, 4, 2, 4, 2, 4, 2, 4],
    [2, 4, 1, 4, 2, 4, 2, 4, 2, 4], [2, 4, 2, 4, 1, 4, 2, 4, 2, 4], [2, 4, 2, 4, 2, 4, 1, 4, 2, 4],
    [2, 4, 2, 4, 2, 4, 2, 4, 4, 2], [4, 2, 4, 1, 2, 4, 2, 4, 2, 4], [1, 4, 2, 4, 2, 4, 2, 4, 2, 4],
    [2, 4, 1, 4, 2, 4, 2, 4, 2, 4], [2, 4, 1, 4, 2, 4, 2, 4, 2, 4], [2, 4, 2, 4, 4, 2, 4, 2, 4, 1],
    [2, 4, 2, 4, 2, 4, 1, 4, 2, 4], [2, 4, 2, 4, 2, 4, 2, 4, 1, 4], [2, 4, 2, 4, 2, 4, 2, 4, 2, 4],
    [1, 4, 2, 4, 2, 4, 2, 4, 2, 4], [2, 4, 1, 4, 2, 4, 2, 4, 2, 4], [2, 4, 2, 4, 1, 4, 2, 4, 2, 4],
    [2, 4, 2, 4, 2, 4, 1, 4, 4, 2], [4, 2, 4, 2, 4, 2, 4, 4, 4, 4], [3, 3, 3, 1, 3, 3, 3, 3, 3, 3],
    [3, 1, 3, 3, 3, 3, 3, 1, 3, 3], [3, 3, 3, 1, 3, 3, 3, 3, 3, 1], [3, 3, 3, 3, 3, 1, 3, 3, 3, 3],
    [3, 3, 3, 3, 3, 1, 3, 3, 3, 3], [3, 1, 3, 3, 3, 3, 3, 1, 3, 3], [3, 3, 3, 3, 3, 3, 3, 3, 1, 3],
    [3, 3, 3, 3, 1, 3, 3, 3, 3, 3], [3, 3, 3, 3, 3, 1, 3, 3, 3, 3], [3, 3, 3, 3, 3, 1, 3, 3, 3, 3],
    [3, 1, 3, 3, 3, 1, 3, 3, 3, 3], [3, 1, 3, 3, 1, 3, 3, 1, 3, 1], [3, 3, 3, 3, 3, 1, 3, 3, 1, 3],
    [3, 1, 3, 1, 3, 3, 3, 3, 3, 3], [3, 3, 3, 1, 3, 3, 3, 3, 3, 1], [3, 4, 3, 3, 3, 3, 3, 4, 3, 3],
    [3, 4, 3, 3, 1, 3, 1, 3, 1, 3], [1, 4, 3, 4, 1, 4, 3, 4, 3, 4], [3, 3, 4, 3, 4, 1, 4, 3, 4, 3],
    [4, 3, 4, 3, 4, 3, 4, 1, 4, 3], [4, 3, 4, 3, 4, 3, 4, 3, 4, 1], [4, 3, 4, 3, 4, 3, 4, 3, 4, 3],
    [4, 4, 3, 4, 3, 4, 3, 4, 3, 4], [3, 1, 4, 3, 4, 3, 4, 3, 4, 3], [4, 3, 4, 1, 4, 3, 4, 3, 4, 3],
    [4, 3, 4, 1, 4, 3, 4, 3, 4, 3], [4, 3, 4, 3, 4, 4, 3, 4, 3, 4], [3, 4, 3, 4, 3, 1, 4, 3, 4, 3],
    [4, 3, 4, 3, 4, 3, 4, 1, 4, 3], [4, 3, 4, 3, 4, 3, 4, 3, 4, 1], [4, 3, 4, 3, 4, 3, 4, 3, 4, 3],
    [4, 1, 4, 3, 4, 3, 4, 3, 4, 3], [4, 3, 4, 1, 4, 3, 4, 3, 4, 3], [4, 3, 4, 3, 4, 1, 4, 4, 3, 4],
    [3, 4, 3, 4, 3, 4, 1, 4, 4, 4], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
    [1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
    [1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
    [1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
    [1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [4, 4, 1, 4, 4, 1, 4, 1, 4, 4], [4, 1, 4, 1, 4, 4, 1, 4, 4, 1],
    [4, 4, 4, 1, 4, 1, 4, 4, 1, 4], [4, 4, 1, 4, 1, 4, 4, 1, 4, 4], [4, 1, 4, 1, 4, 4, 1, 4, 4, 4],
    [1, 4, 1, 4, 4, 4, 1, 4, 4, 1], [4, 4, 1, 4, 1, 4, 4, 4, 1, 4], [1, 4, 4, 1, 4, 4, 1, 4, 4, 4],
    [1, 4, 1, 4, 4, 1, 4, 4, 4, 1], [4, 1, 4, 4, 1, 4, 4, 4, 1, 4], [1, 4, 4, 1, 4, 4, 1, 4, 4, 4],
    [1, 4, 1, 4, 4, 4, 1, 4, 1, 4], [4, 4, 1, 4, 1, 4, 4, 1, 4, 4], [1, 4, 4, 4, 1, 4, 4, 1, 4, 1],
    [4, 4, 4, 1, 4, 1, 4, 4, 1, 4], [4, 4, 1, 4, 4, 1, 4, 4, 1, 4], [4, 1, 4, 1, 4, 4, 1, 4, 4, 1],
    [4, 1, 4, 4, 1, 4, 4, 1, 4, 4], [1, 4, 4, 1, 4, 4, 4, 1, 1, 1], [3, 3, 3, 3, 3, 3, 3, 3, 3, 3],
    [3, 1, 3, 1, 3, 3, 1, 3, 1, 3], [3, 3, 3, 3, 1, 3, 3, 3, 3, 3], [1, 3, 3, 3, 3, 3, 3, 3, 3, 3],
    [3, 3, 3, 3, 3, 1, 3, 3, 3, 3], [1, 3, 3, 3, 3, 3, 3, 3, 3, 3], [1, 3, 3, 3, 3, 3, 1, 3, 3, 3],
    [3, 3, 3, 3, 3, 3, 3, 1, 3, 3], [3, 3, 3, 1, 3, 3, 3, 3, 1, 1], [2, 4, 2, 4, 2, 4, 2, 4, 2, 4],
    [1, 4, 2, 4, 2, 4, 2, 4, 1, 2], [4, 2, 4, 1, 4, 2, 4, 2, 4, 2], [4, 1, 4, 2, 4, 2, 4, 1, 2, 4],
    [2, 2, 4, 2, 4, 2, 4, 2, 4, 2], [4, 1, 4, 4, 2, 4, 1, 4, 2, 4], [2, 4, 1, 2, 4, 2, 2, 4, 2, 4],
    [2, 4, 2, 4, 2, 4, 1, 4, 4, 2], [3, 3, 1, 3, 3, 1, 1, 3, 3, 1], [3, 3, 1, 1, 1, 1, 1, 1, 1, 1],
    [1, 1, 4, 1, 1, 1, 4, 1, 1, 4], [1, 1, 4, 1, 1, 1, 4, 1, 1, 1], [4, 1, 1, 1, 4, 1, 1, 1, 4, 1],
    [1, 1, 1, 1, 4, 1, 1, 1, 1, 4], [1, 1, 1, 4, 1, 1, 1, 1, 1, 4], [1, 1, 4, 1, 1, 1, 4, 1, 1, 1],
    [1, 1, 4, 1, 1, 1, 1, 4, 1, 1], [1, 4, 1, 1, 1, 1, 1, 4, 1, 1], [1, 4, 1, 1, 1, 4, 1, 1, 1, 4],
    [1, 1, 1, 4, 1, 1, 1, 4, 1, 1], [1, 4, 1, 1, 1, 4, 1, 1, 1, 4], [1, 1, 4, 1, 1, 1, 4, 1, 1, 1],
    [1, 1, 4, 1, 1, 1, 4, 1, 1, 1], [4, 1, 1, 1, 4, 1, 1, 1, 4, 1], [1, 1, 4, 1, 1, 1, 4, 1, 1, 1],
    [4, 1, 1, 1, 1, 4, 1, 1, 1, 1], [4, 1, 1, 1, 4, 1, 1, 1, 1, 1], [4, 1, 1, 4, 1, 1, 1, 4, 1, 1],
    [1, 1, 4, 1, 1, 1, 1, 4, 1, 1], [1, 4, 1, 1, 1, 1, 1, 4, 1, 1], [1, 4, 1, 1, 1, 4, 1, 1, 1, 4],
    [1, 1, 1, 4, 1, 1, 1, 4, 1, 1], [1, 4, 1, 1, 1, 4, 1, 1, 1, 4], [1, 1, 4, 1, 1, 1, 4, 1, 1, 1],
    [4, 4, 1, 4, 4, 1, 4, 4, 1, 4], [4, 1, 4, 4, 1, 4, 1, 4, 1, 4], [4, 4, 1, 4, 1, 4, 1, 4, 4, 1],
    [4, 4, 1, 4, 4, 1, 4, 4, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1],
    [1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [3, 3, 3, 3, 3, 1, 3, 3, 3, 3], [3, 1, 3, 3, 3, 3, 3, 1, 3, 3],
    [3, 3, 3, 1, 3, 3, 3, 3, 3, 1], [3, 3, 3, 3, 1, 3, 3, 3, 3, 3], [1, 3, 3, 3, 3, 1, 3, 3, 3, 3],
    [3, 1, 3, 3, 3, 3, 1, 3, 3, 3], [3, 3, 1, 3, 3, 3, 3, 3, 1, 3], [3, 3, 3, 3, 1, 3, 3, 3, 3, 3],
    [1, 3, 3, 3, 3, 3, 1, 3, 3, 3], [3, 3, 3, 3, 3, 1, 3, 3, 3, 1], [3, 3, 3, 3, 3, 1, 3, 3, 3, 3],
    [3, 1, 3, 3, 3, 3, 1, 3, 3, 3], [3, 3, 1, 3, 3, 3, 3, 3, 1, 3], [3, 3, 3, 1, 3, 3, 3, 3, 1, 3],
    [3, 3, 3, 3, 1, 3, 3, 3, 3, 3], [1, 3, 3, 3, 3, 3, 1, 3, 3, 3], [3, 3, 1, 3, 3, 3, 3, 3, 1, 3],
    [3, 3, 3, 3, 1, 3, 3, 3, 3, 3], [1, 3, 3, 3, 3, 1, 3, 3, 3, 3], [3, 1, 3, 3, 3, 3, 3, 1, 3, 3],
    [3, 3, 3, 1, 3, 3, 3, 3, 3, 1], [3, 3, 3, 3, 3, 1, 3, 3, 3, 3], [3, 1, 3, 3, 3, 3, 1, 3, 3, 3],
    [3, 3, 1, 3, 3, 3, 3, 3, 1, 3], [3, 3, 3, 3, 1, 3, 3, 3, 3, 3], [1, 3, 3, 3, 3, 3, 1, 3, 3, 3],
    [3, 3, 1, 3, 3, 3, 3, 3, 1, 3]
]
input_time_dataset = [
    [0.369140625, 0.1220703125, 0.3623046875, 0.1171875, 0.3603515625, 0.119140625, 0.3603515625, 0.0966796875,
     0.3740234375, 0.1240234375],
    [0.138671875, 0.3720703125, 0.125, 0.36328125, 0.123046875, 0.3662109375, 0.1240234375, 0.90234375, 0.36328125,
     0.1396484375],
    [0.365234375, 0.12109375, 0.1083984375, 0.373046875, 0.1396484375, 0.361328125, 0.1171875, 0.3603515625,
     0.1357421875, 0.361328125],
    [0.1201171875, 0.365234375, 0.126953125, 0.0009765625, 0.1171875, 0.40625, 0.1240234375, 0.39453125, 0.1171875,
     0.4052734375],
    [0.1162109375, 0.37890625, 0.13671875, 0.3662109375, 0.1484375, 0.900390625, 0.119140625, 0.40625, 0.125,
     0.361328125],
    [0.1220703125, 0.388671875, 0.1201171875, 0.361328125, 0.1201171875, 0.376953125, 0.12109375, 0.9326171875,
     0.1162109375, 0.392578125],
    [0.1181640625, 0.3828125, 0.1201171875, 0.9013671875, 0.4013671875, 0.1171875, 0.3896484375, 0.1416015625,
     0.380859375, 0.1298828125],
    [0.9248046875, 0.1162109375, 0.400390625, 0.1220703125, 0.3955078125, 0.119140625, 0.396484375, 0.1357421875,
     0.3974609375, 0.12109375],
    [0.3974609375, 0.1201171875, 0.8828125, 0.1142578125, 0.3759765625, 0.1142578125, 0.3828125, 0.1171875, 0.392578125,
     0.123046875],
    [0.3935546875, 0.12109375, 0.1103515625, 0.40625, 0.125, 0.361328125, 0.1220703125, 0.388671875, 0.1201171875,
     0.361328125],
    [0.1201171875, 0.376953125, 0.12109375, 0.9326171875, 0.1162109375, 0.392578125, 0.1181640625, 0.3828125,
     0.1201171875, 0.9013671875],
    [0.4013671875, 0.1171875, 0.3896484375, 0.1416015625, 0.380859375, 0.1298828125, 0.9248046875, 0.1162109375,
     0.400390625, 0.1220703125],
    [0.3955078125, 0.119140625, 0.396484375, 0.1357421875, 0.3974609375, 0.12109375, 0.3974609375, 0.1201171875,
     0.8828125, 0.1142578125],
    [0.3974609375, 0.12109375, 0.3759765625, 0.1142578125, 0.3828125, 0.1171875, 0.392578125, 0.123046875, 0.3935546875,
     0.12109375],
    [0.1103515625, 0.4052734375, 0.1181640625, 0.3994140625, 0.12109375, 0.3994140625, 0.119140625, 0.3896484375,
     0.119140625, 0.39453125],
    [0.12109375, 0.90234375, 0.11328125, 0.3935546875, 0.1396484375, 0.3984375, 0.1201171875, 0.3916015625,
     0.1201171875, 0.3984375],
    [0.119140625, 0.388671875, 0.1220703125, 0.904296875, 0.126953125, 0.37109375, 0.1171875, 0.3759765625, 0.12109375,
     0.3720703125],
    [0.12109375, 0.3740234375, 0.12109375, 0.3818359375, 0.12109375, 0.9248046875, 0.1162109375, 0.12890625, 0.39453125,
     0.1201171875], [115.05, 30.01, 151.34, 42.82, 1423.36, 117.37, 31.99, 31.85, 50.68, 34.2],
    [1443.84, 88.41, 155.13, 357.83, 0.662109375, 1413.12, 106.58, 39.72, 57.2, 52.16],
    [35.61, 1433.6, 106.61, 37.75, 14.81, 155.88, 38.42, 1484.8, 97.22, 39.89],
    [56.04, 123.9, 41.21, 1484.8, 97.86, 38.24, 56.93, 153.59, 40.78, 1433.6],
    [27.55, 54.21, 148.94, 38.91, 1392.64, 106.61, 37.75, 14.81, 155.88, 38.42],
    [1484.8, 97.22, 39.89, 56.04, 123.9, 41.21, 1484.8, 97.86, 38.24, 56.93],
    [153.59, 40.78, 1433.6, 100.93, 27.55, 54.21, 148.94, 38.91, 1392.64, 102.45],
    [28.78, 66.09, 49.27, 36.57, 1361.92, 100.2, 25.31, 52.52, 152.39, 34.41],
    [1361.92, 101.99, 25.24, 52.93, 153.68, 35.74, 1341.44, 105.64, 26.51, 53.24],
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    [0.0185546875, 9.22, 0.01171875, 0.01953125, 9.24, 0.01953125, 9.25, 0.0185546875, 9.24, 0.0205078125],
    [0.01171875, 0.01953125, 9.24, 0.01953125, 9.25, 0.0185546875, 9.24, 0.0205078125, 0.01953125, 8.96],
    [0.01171875, 0.01953125, 9.23, 0.0087890625, 0.01953125, 9.22, 0.01171875, 0.0185546875, 9.23, 3.0855381944444447],
    [1.43, 1.26, 14.65, 1.51, 1.65, 15.1, 1.65, 15.1, 6.54375, 6.54375],
    [0.009765625, 0.009765625, 0.0087890625, 0.009765625, 0.0087890625, 0.009765625, 0.009765625, 0.0087890625,
     0.009765625, 0.009765625],
    [167577.6, 164823.04, 169830.4, 165365.76, 165816.32, 165038.08, 158187.52, 152668.16, 165816.32, 165038.08],
    [108.87, 88.18, 143.27, 58.81, 85.67, 3368.96, 103.69, 130.46, 138.34, 100.4],
    [91.18, 3348.48, 71.84, 90.06, 140.2, 94.44, 92.44, 3358.72, 123.78, 48.22],
    [136.72, 96.93, 84.7, 3348.48, 129.89, 86.6, 138.28, 120.09, 48.29, 3389.44],
    [102.38, 104.29, 143.78, 110.01, 3348.48, 125.05, 95.07, 141.99, 94.73, 94.25],
    [3328.0, 89.9, 144.18, 119.49, 50.12, 3256.32, 129.89, 86.6, 138.28, 120.09],
    [48.29, 3389.44, 102.38, 104.29, 143.78, 110.01, 3348.48, 125.05, 95.07, 141.99],
    [94.73, 94.25, 3328.0, 104.36, 89.9, 144.18, 119.49, 50.12, 3256.32, 106.5],
    [113.67, 152.29, 104.82, 98.26, 3235.84, 103.28, 90.42, 140.92, 107.71, 91.55],
    [3328.0, 124.19, 50.8, 138.78, 47.13, 107.57, 3328.0, 92.58, 144.15, 117.13],
    [70.05, 20.24, 27.09, 25.89, 101.56, 2816.0, 22.17, 26.97, 99.17, 2570.24],
    [70.09, 22.97, 25.71, 24.19, 46.0, 2775.04, 66.16, 21.68, 6.85, 22.93],
    [100.72, 2795.52, 29.97, 21.7, 3.96, 100.87, 2826.24, 69.59, 27.21, 23.07],
    [24.31, 48.8, 2764.8, 67.85, 26.9, 21.45, 24.05, 96.23, 2703.36, 23.97],
    [18.57, 25.15, 97.66, 2662.4, 29.97, 21.7, 3.96, 100.87, 2826.24, 69.59],
    [27.21, 23.07, 24.31, 48.8, 2764.8, 67.85, 26.9, 21.45, 24.05, 96.23],
    [2703.36, 64.46, 23.97, 18.57, 25.15, 97.66, 2662.4, 68.48, 21.71, 29.96],
    [22.23, 44.6, 2641.92, 69.52, 19.12, 20.32, 22.95, 97.01, 2703.36, 66.8],
    [19.0, 20.28, 22.94, 103.57, 2703.36, 66.64, 25.78, 21.64, 22.9, 103.51],
    [2846.72, 40.5, 24.34, 30.06, 49.11, 2816.0, 63.56, 41.85, 28.84, 24.23],
    [100.56, 2662.4, 52.14, 37.79, 27.11, 22.84, 96.38, 2754.56, 50.54, 37.88],
    [25.8, 21.94, 100.74, 2785.28, 63.75, 39.35, 25.86, 22.98, 99.52, 2795.52],
    [52.01, 40.74, 19.37, 21.59, 47.45, 2744.32, 48.93, 41.59, 17.69, 19.98],
    [94.4, 2672.64, 39.89, 18.6, 19.75, 47.68, 2631.68, 63.75, 39.35, 25.86],
    [22.98, 99.52, 2795.52, 52.01, 40.74, 19.37, 21.59, 47.45, 2744.32, 48.93],
    [41.59, 17.69, 19.98, 94.4, 2672.64, 48.21, 39.89, 18.6, 19.75, 47.68],
    [2631.68, 50.85, 43.51, 26.43, 20.94, 93.87, 2631.68, 51.92, 39.29, 20.33],
    [22.98, 95.58, 2693.12, 50.54, 35.16, 18.95, 21.58, 100.84, 2693.12, 51.75]
]
input_size_dataset = [
    [567.0, 526.0, 690.0, 482.0, 639.0, 455.0, 713.0, 709.0, 940.0, 525.0],
    [448.0, 608.0, 331.0, 606.0, 617.0, 558.0, 481.0, 557.0, 698.0, 512.0],
    [689.0, 556.0, 626.0, 428.0, 300.0, 364.0, 292.0, 593.0, 660.0, 589.0],
    [433.0, 644.0, 559.0, 700.0, 311.0, 368.0, 330.0, 672.0, 336.0, 599.0],
    [808.0, 489.0, 285.0, 547.0, 344.0, 413.0, 313.0, 476.0, 392.0, 491.0],
    [345.0, 454.0, 365.0, 460.0, 355.0, 644.0, 534.0, 293.0, 616.0, 469.0],
    [412.0, 498.0, 309.0, 343.0, 489.0, 339.0, 481.0, 343.0, 527.0, 343.0],
    [599.0, 289.0, 470.0, 382.0, 524.0, 390.0, 500.0, 437.0, 570.0, 386.0],
    [538.0, 317.0, 474.0, 331.0, 560.0, 331.0, 493.0, 401.0, 574.0, 432.0],
    [549.0, 422.0, 394.0, 476.0, 392.0, 491.0, 345.0, 454.0, 365.0, 460.0],
    [355.0, 644.0, 534.0, 293.0, 616.0, 469.0, 412.0, 498.0, 309.0, 343.0],
    [489.0, 339.0, 481.0, 343.0, 527.0, 343.0, 599.0, 289.0, 470.0, 382.0],
    [524.0, 390.0, 500.0, 437.0, 570.0, 386.0, 538.0, 317.0, 474.0, 331.0],
    [486.0, 380.0, 560.0, 331.0, 493.0, 401.0, 574.0, 432.0, 549.0, 422.0],
    [394.0, 293.0, 326.0, 627.0, 253.0, 311.0, 228.0, 354.0, 382.0, 371.0],
    [390.0, 608.0, 394.0, 638.0, 473.0, 630.0, 434.0, 482.0, 363.0, 405.0],
    [244.0, 286.0, 216.0, 370.0, 287.0, 622.0, 428.0, 722.0, 414.0, 660.0],
    [459.0, 630.0, 396.0, 505.0, 449.0, 895.0, 380.0, 596.0, 575.0, 440.0],
    [492.0, 264.0, 244.0, 509.0, 2724.0, 254.0, 262.0, 221.0, 509.0, 233.0],
    [2496.0, 516.0, 775.0, 246.0, 204.0, 2734.0, 256.0, 244.0, 247.0, 248.0],
    [225.0, 2767.0, 305.0, 274.0, 249.0, 250.0, 282.0, 2794.0, 274.0, 234.0],
    [263.0, 317.0, 247.0, 2583.0, 249.0, 263.0, 232.0, 252.0, 290.0, 2520.0],
    [262.0, 271.0, 274.0, 289.0, 2556.0, 305.0, 274.0, 249.0, 250.0, 282.0],
    [2794.0, 274.0, 234.0, 263.0, 317.0, 247.0, 2583.0, 249.0, 263.0, 232.0],
    [252.0, 290.0, 2520.0, 244.0, 262.0, 271.0, 274.0, 289.0, 2556.0, 330.0],
    [273.0, 233.0, 281.0, 263.0, 2555.0, 264.0, 265.0, 262.0, 245.0, 260.0],
    [2531.0, 246.0, 263.0, 258.0, 232.0, 249.0, 2525.0, 256.0, 264.0, 248.0],
    [225.0, 426.0, 225.0, 221.0, 234.0, 513.0, 233.0, 470.0, 222.0, 227.0],
    [241.0, 233.0, 218.0, 224.0, 144.0, 766.0, 256.0, 227.0, 267.0, 247.0],
    [803.0, 506.0, 222.0, 226.0, 215.0, 244.0, 483.0, 230.0, 279.0, 374.0],
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    [230.0, 279.0, 374.0, 223.0, 237.0, 216.0, 291.0, 254.0, 228.0, 291.0],
    [242.0, 259.0, 289.0, 239.0, 281.0, 227.0, 227.0, 225.0, 251.0, 263.0],
    [266.0, 231.0, 262.0, 208.0, 255.0, 228.0, 254.0, 227.0, 237.0, 223.0],
    [261.0, 241.0, 275.0, 291.0, 285.0, 221.0, 270.0, 258.0, 210.0, 267.0],
    [367.0, 667.0, 607.0, 346.0, 342.0, 374.0, 383.0, 372.0, 357.0, 325.0],
    [603.0, 437.0, 652.0, 410.0, 568.0, 610.0, 586.0, 348.0, 461.0, 389.0],
    [539.0, 432.0, 495.0, 579.0, 494.0, 304.0, 484.0, 346.0, 567.0, 385.0],
    [689.0, 442.0, 552.0, 468.0, 353.0, 291.0, 526.0, 299.0, 491.0, 313.0],
    [483.0, 397.0, 553.0, 281.0, 505.0, 847.0, 431.0, 290.0, 280.0, 268.0],
    [671.0, 244.0, 436.0, 304.0, 361.0, 263.0, 342.0, 308.0, 431.0, 339.0],
    [406.0, 319.0, 455.0, 304.0, 397.0, 302.0, 287.0, 214.0, 584.0, 427.0],
    [333.0, 421.0, 343.0, 332.0, 398.0, 368.0, 408.0, 302.0, 464.0, 325.0],
    [391.0, 276.0, 391.0, 334.0, 464.0, 341.0, 440.0, 346.0, 403.0, 347.0],
    [393.0, 333.0, 410.0, 305.0, 382.0, 314.0, 464.0, 383.0, 415.0, 337.0],
    [399.0, 320.0, 469.0, 359.0, 431.0, 339.0, 406.0, 319.0, 455.0, 304.0],
    [397.0, 302.0, 287.0, 214.0, 584.0, 427.0, 333.0, 421.0, 343.0, 332.0],
    [398.0, 368.0, 408.0, 302.0, 464.0, 325.0, 391.0, 276.0, 391.0, 334.0],
    [464.0, 341.0, 440.0, 346.0, 403.0, 347.0, 393.0, 333.0, 410.0, 305.0],
    [407.0, 346.0, 382.0, 314.0, 464.0, 383.0, 415.0, 337.0, 399.0, 320.0],
    [469.0, 359.0, 239.0, 359.0, 451.0, 268.0, 287.0, 201.0, 333.0, 367.0],
    [462.0, 352.0, 393.0, 385.0, 551.0, 371.0, 456.0, 387.0, 401.0, 315.0],
    [258.0, 263.0, 250.0, 222.0, 339.0, 270.0, 545.0, 361.0, 495.0, 378.0],
    [577.0, 383.0, 503.0, 417.0, 610.0, 342.0, 553.0, 352.0, 517.0, 529.0],
    [389.0, 505.0, 404.0, 566.0, 362.0, 618.0, 383.0, 370.0, 449.625, 449.625],
    [699.0, 425.0, 391.0, 372.0, 425.0, 421.0, 519.0, 734.0, 414.0, 695.0],
    [395.0, 468.0, 439.0, 399.0, 414.0, 426.0, 683.0, 431.0, 644.0, 423.0],
    [358.0, 685.0, 948.0, 421.0, 604.0, 398.0, 465.0, 439.0, 392.0, 457.0],
    [460.0, 511.0, 487.0, 508.0, 468.0, 444.0, 413.0, 432.0, 405.0, 510.0],
    [452.0, 381.0, 412.0, 399.0, 426.0, 376.0, 604.0, 398.0, 465.0, 439.0],
    [392.0, 457.0, 460.0, 511.0, 487.0, 508.0, 468.0, 444.0, 413.0, 432.0],
    [405.0, 510.0, 452.0, 444.0, 381.0, 412.0, 399.0, 426.0, 376.0, 459.0],
    [392.0, 391.0, 399.0, 362.0, 394.0, 409.0, 420.0, 391.0, 401.0, 430.0],
    [384.0, 382.0, 401.0, 395.0, 422.0, 419.0, 593.0, 412.0, 433.0, 409.0],
    [283.0, 634.0, 270.0, 288.0, 246.0, 333.0, 501.0, 527.0, 254.0, 248.0],
    [271.0, 315.0, 492.0, 258.0, 241.0, 291.0, 290.0, 314.0, 361.0, 226.0],
    [237.0, 279.0, 222.0, 270.0, 224.0, 274.0, 275.0, 262.0, 250.0, 274.0],
    [290.0, 314.0, 361.0, 226.0, 237.0, 279.0, 222.0, 270.0, 224.0, 274.0],
    [275.0, 262.0, 250.0, 274.0, 225.0, 298.0, 287.0, 283.0, 281.0, 246.0],
    [224.0, 221.0, 237.0, 289.0, 297.0, 261.0, 222.0, 232.0, 256.0, 247.0],
    [308.0, 502.0, 252.0, 257.0, 258.0, 607.0, 277.0, 507.0, 249.0, 259.0],
    [291.0, 205.0, 243.0, 375.0, 228.0, 252.0, 246.0, 527.0, 250.0, 478.0],
    [241.0, 224.0, 304.0, 461.0, 270.0, 215.0, 332.0, 477.0, 421.0, 219.0],
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    [266.0, 283.0, 266.0, 286.0, 253.0, 263.0, 226.0, 271.0, 797.0, 402.0],
    [246.0, 681.0, 245.0, 282.0, 236.0, 564.0, 272.0, 413.0, 236.0, 579.0],
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    [154.0, 170.0, 168.0, 171.0, 158.0, 201.0, 161.0, 300.0, 165.0, 177.0],
    [163.0, 148.0, 161.0, 218.0, 264.0, 291.0, 173.0, 168.0, 156.0, 428.0],
    [163.0, 180.0, 276.0, 523.0, 300.0, 277.0, 271.0, 282.0, 278.0, 281.0],
    [228.0, 166.0, 276.0, 295.0, 287.0, 323.0, 165.0, 222.0, 137.0, 145.0],
    [205.0, 150.0, 169.0, 184.0, 178.0, 127.0, 151.0, 131.0, 163.0, 129.0],
    [176.0, 180.0, 124.0, 132.0, 132.0, 118.0, 132.0, 159.0, 228.0, 166.0],
    [276.0, 295.0, 287.0, 323.0, 165.0, 222.0, 137.0, 145.0, 205.0, 150.0],
    [169.0, 184.0, 178.0, 127.0, 151.0, 131.0, 163.0, 129.0, 176.0, 133.0],
    [180.0, 124.0, 132.0, 132.0, 118.0, 132.0, 159.0, 176.0, 184.0, 144.0],
    [183.0, 172.0, 132.0, 143.0, 136.0, 144.0, 167.0, 145.0, 122.0, 145.0],
    [147.0, 142.0, 161.0, 243.0, 174.0, 125.0, 125.0, 133.0, 182.0, 151.0],
    [153.0, 248.0, 136.0, 169.0, 167.0, 135.0, 133.0, 161.0, 162.75, 162.75],
    [173.0, 167.0, 153.0, 146.0, 407.0, 192.0, 156.0, 133.0, 160.0, 312.0],
    [155.0, 173.0, 414.0, 171.0, 158.0, 181.0, 131.0, 387.0, 152.0, 154.0],
    [172.0, 181.0, 161.0, 243.0, 283.0, 145.0, 160.0, 131.0, 399.0, 132.0],
    [146.0, 125.0, 161.0, 553.0, 131.0, 140.0, 434.0, 153.0, 175.0, 134.0],
    [125.0, 248.0, 220.0, 168.0, 178.0, 178.0, 115.0, 157.0, 113.0, 105.0],
    [108.0, 110.0, 131.0, 120.0, 132.0, 151.0, 111.0, 129.0, 188.0, 161.0],
    [553.0, 131.0, 140.0, 434.0, 153.0, 175.0, 134.0, 125.0, 248.0, 220.0],
    [168.0, 178.0, 178.0, 115.0, 157.0, 113.0, 105.0, 108.0, 110.0, 111.0],
    [131.0, 120.0, 132.0, 151.0, 111.0, 129.0, 188.0, 124.0, 121.0, 133.0],
    [160.0, 190.0, 165.0, 130.0, 177.0, 157.0, 133.0, 128.0, 112.0, 135.0],
    [143.0, 148.0, 181.0, 206.0, 124.0, 126.0, 164.0, 118.0, 156.0, 150.0],
    [143.0, 227.0, 129.0, 114.0, 166.0, 154.0, 133.0, 167.0, 154.125, 154.125],
    [324.0, 276.0, 261.0, 287.0, 205.0, 325.0, 222.0, 214.0, 253.0, 213.0],
    [213.0, 185.0, 276.0, 220.0, 497.0, 290.0, 170.0, 308.0, 281.0, 182.0],
    [276.0, 220.0, 497.0, 290.0, 170.0, 308.0, 281.0, 182.0, 189.0, 155.0],
    [213.0, 172.0, 299.0, 226.0, 176.0, 193.0, 214.0, 197.0, 186.0, 208.44444444444446],
    [364.0, 805.0, 312.0, 857.0, 605.0, 612.0, 605.0, 612.0, 596.5, 596.5],
    [324.0, 340.0, 244.0, 179.0, 237.0, 304.0, 179.0, 237.0, 304.0, 182.0],
    [4704.0, 4759.0, 5255.0, 4799.0, 5053.0, 4922.0, 4840.0, 4903.0, 5053.0, 4922.0],
    [402.0, 266.0, 148.0, 145.0, 654.0, 305.0, 402.0, 378.0, 387.0, 149.0],
    [108.0, 280.0, 424.0, 145.0, 485.0, 384.0, 382.0, 263.0, 136.0, 147.0],
    [128.0, 130.0, 139.0, 299.0, 124.0, 172.0, 142.0, 129.0, 403.0, 254.0],
    [174.0, 303.0, 144.0, 135.0, 283.0, 153.0, 162.0, 132.0, 162.0, 150.0],
    [271.0, 182.0, 146.0, 185.0, 159.0, 324.0, 124.0, 172.0, 142.0, 129.0],
    [403.0, 254.0, 174.0, 303.0, 144.0, 135.0, 283.0, 153.0, 162.0, 132.0],
    [162.0, 150.0, 271.0, 169.0, 182.0, 146.0, 185.0, 159.0, 324.0, 161.0],
    [175.0, 140.0, 185.0, 170.0, 279.0, 220.0, 146.0, 166.0, 176.0, 126.0],
    [292.0, 156.0, 146.0, 159.0, 184.0, 149.0, 280.0, 165.0, 157.0, 157.0],
    [390.0, 139.0, 105.0, 143.0, 99.0, 245.0, 118.0, 107.0, 417.0, 1216.0],
    [386.0, 124.0, 105.0, 102.0, 362.0, 623.0, 137.0, 395.0, 147.0, 127.0],
    [118.0, 238.0, 134.0, 255.0, 131.0, 106.0, 272.0, 167.0, 147.0, 115.0],
    [145.0, 98.0, 571.0, 173.0, 181.0, 117.0, 120.0, 161.0, 689.0, 162.0],
    [131.0, 165.0, 108.0, 609.0, 134.0, 255.0, 131.0, 106.0, 272.0, 167.0],
    [147.0, 115.0, 145.0, 98.0, 571.0, 173.0, 181.0, 117.0, 120.0, 161.0],
    [689.0, 135.0, 162.0, 131.0, 165.0, 108.0, 609.0, 181.0, 134.0, 121.0],
    [123.0, 172.0, 543.0, 197.0, 147.0, 141.0, 120.0, 134.0, 602.0, 156.0],
    [143.0, 122.0, 164.0, 101.0, 541.0, 133.0, 106.0, 120.0, 161.0, 166.0],
    [774.0, 110.0, 144.0, 114.0, 101.0, 534.0, 166.0, 122.0, 102.0, 102.0],
    [407.0, 1025.0, 97.0, 124.0, 145.0, 135.0, 102.0, 631.0, 118.0, 128.0],
    [131.0, 112.0, 106.0, 527.0, 201.0, 137.0, 141.0, 110.0, 405.0, 535.0],
    [129.0, 116.0, 125.0, 98.0, 138.0, 635.0, 174.0, 123.0, 147.0, 102.0],
    [121.0, 669.0, 124.0, 130.0, 165.0, 99.0, 618.0, 201.0, 137.0, 141.0],
    [110.0, 405.0, 535.0, 129.0, 116.0, 125.0, 98.0, 138.0, 635.0, 174.0],
    [123.0, 147.0, 102.0, 121.0, 669.0, 118.0, 124.0, 130.0, 165.0, 99.0],
    [618.0, 186.0, 111.0, 123.0, 109.0, 171.0, 575.0, 198.0, 108.0, 108.0],
    [117.0, 107.0, 586.0, 107.0, 146.0, 126.0, 153.0, 171.0, 566.0, 117.0]
]

all_data = '{"totalCount":201530,"records":[{"userId": "123", "extendStr": "{\\"dataAfterReduction\\": \\"100GB\\", \\"backupType\\": \\"full\\"}", ' \
           '"sourceName": "example", "message": "{\\"payload\\": {\\"policy\\": {\\"action\\": \\"full\\"}}}", ' \
           '"startTime": 1623776400000, "endTime": 1623776600000},{"userId": "123", "extendStr": "{\\"dataAfterReduction\\": \\"100GB\\", \\"backupType\\": \\"full\\"}", ' \
           '"sourceName": "example", "message": "{\\"payload\\": {\\"policy\\": {\\"action\\": \\"full\\"}}}", ' \
           '"startTime": 1623776400000, "endTime": 1623776600000}]}'

nan_data = '{"totalCount":201530,"records":[{"userId": "123", "extendStr": "{}", ' \
           '"sourceName": "example", "message": "{\\"payload\\": {\\"policy\\": {\\"action\\": \\"full\\"}}}", ' \
           '"startTime": 1623776400000, "endTime": 1623776600000},{"userId": "123", "extendStr": "{}", ' \
           '"sourceName": "example", "message": "{\\"payload\\": {\\"policy\\": {\\"action\\": \\"full\\"}}}", ' \
           '"startTime": 1623776400000, "endTime": 1623776600000}]}'

less_data = '{"totalCount":201530,"records":[{"userId": "123", "extendStr": "{\\"dataAfterReduction\\": \\"0.0\\"}", ' \
            '"sourceName": "example", "message": "{\\"payload\\": {\\"policy\\": {\\"action\\": \\"full\\"}}}", ' \
            '"startTime": 1623776400000, "endTime": 1623776600000},{"userId": "123", "extendStr": "{\\"dataAfterReduction\\": \\"0.0\\"}", ' \
            '"sourceName": "example", "message": "{\\"payload\\": {\\"policy\\": {\\"action\\": \\"full\\"}}}", ' \
            '"startTime": 1623776400000, "endTime": 1623776600000}]}'
